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NC State Data Science and AI Academy

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Generative AI can write code, translate text and produce complex documents with remarkable fluency. But what happens when it gets something wrong?

Join us for AI Hot Topics: Assurance and Oversight of Generative AI, a panel examining how organizations can evaluate AI outputs, manage risk and determine whether processes designed to catch human error also work for AI.

The panel brings together perspectives from government, academia and industry:

• Mike Green, Laboratory for Analytic Sciences
• Michelle Rodenburg, UNC School of Law and UNC Law Library
• Chris Provan, Vega Health

Moderated by Jascha Swisher of the Laboratory for Analytic Sciences.

📅 Wednesday, Sept. 23
⏰ 8:45-9:45 a.m.
📍 Raleigh Founded, NC State Centennial Campus

Co-hosted by the NC State Data Science and AI Academy and Laboratory for Analytic Sciences.

Learn more: http://ncst.at/c1Lv50ZIpol

#NCState #GenerativeAI #ResponsibleAI #AI

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Take one day. Bring back ideas that last all year.

Join us Oct. 16 at Talley Student Union for the 2026 NC Data Science Education Summit, focused on “Developing a Data Science Mindset.”

Connect with educators and partners from across North Carolina, explore practical approaches to data science education and discover ideas you can bring back to your classroom.

Support for North Carolina educators includes:

• CEU credit
• A $100 stipend for the first 50 educators
• Substitute reimbursement
• Hotel accommodations for teachers traveling more than 50 miles
• A dedicated student track

Register: http://ncst.at/nMUL50ZInUk

#DataScienceEducation #NCState #ProfessionalDevelopment #K12Education

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AI at NC State

With help from the Wolfpack, DSA developed the AI at NC State website, a central hub for AI resources and guidance on campus. Explore a range of AI tools, resources and guidance designed to support and enhance your teaching, learning, research and work.

“I would encourage any NC State student curious about data science and AI to take a DSA class. The courses are approachable and focus less on heavy technical pressure and more on building a clear understanding of data science and AI concepts. It’s a great way to explore the field while developing both technical and problem-solving skills.”

Rommie Alsaidi

Business Analytics, North Carolina State University